Algorithmic Trading (EA/Bots) on Quant Tekel — Rules & Compatibility

Rule Compatibility Checklist

Quant Tekel stands out as one of the most algo-friendly prop firms in the industry, actively encouraging Expert Advisors and automated trading bots across their platform. With full algorithmic trading support and infrastructure designed for automated strategies, you'll find an environment that's built to accommodate your EA-based approach. **Platform Compatibility and Infrastructure** Your algorithmic strategies can run on multiple platforms including MT5, cTrader, TradeLocker, and FIX API. This diverse platform support means you can choose the environment that best suits your EA's requirements. The FIX API option is particularly valuable for high-frequency strategies that need ultra-low latency execution. You'll have access to forex, indices, commodities, and crypto instruments with 1:100 leverage on forex pairs. **Risk Management Requirements** The most critical constraint for your algorithmic trading is the 4% daily loss limit based on end-of-day equity. This means your EA must incorporate robust daily drawdown controls. If you're trading a $100,000 account, your maximum daily loss cannot exceed $4,000. Your algorithms need built-in position sizing logic that accounts for this hard stop, as breaching this limit will result in account termination. The 10% total loss limit provides your overall risk boundary. Your EA's risk management system must monitor cumulative losses and adjust position sizes accordingly as your account approaches this threshold. **Consistency Rule Considerations** Quant Tekel enforces consistency rules that vary by account type, and this significantly impacts algorithmic strategy design. QT Instant accounts have a 25% single-day cap on profits, while QT Power accounts allow up to 35%. This means if your EA generates exceptional profits on a particular day, those gains could trigger consistency violations. For algorithmic traders, this requires programming daily profit caps into your EA. If you're targeting the 8% Phase 1 profit target, spreading profits across the minimum 4 trading days becomes essential. Your algorithm should include logic to reduce or halt trading when approaching daily profit thresholds. **News Trading Restrictions by Account Type** News trading rules vary significantly across Quant Tekel's account types, requiring different EA configurations: - **QT Prime**: 5-minute buffer around high-impact news events - **QT Power**: Complete news trading prohibition - **QT Ultra**: News trading treated as a breach on funded accounts Your EA must incorporate an economic calendar feed and automatically halt trading during restricted periods. For QT Prime accounts, implement a 5-minute pause before and after high-impact news releases. For QT Power and QT Ultra accounts, consider more conservative approaches during major news events. **Position Management and Hedging** Quant Tekel allows hedging, which opens opportunities for sophisticated algorithmic strategies. Your EAs can maintain opposing positions in correlated instruments or implement hedge-based risk management. However, remember that hedged positions still count toward your overall exposure for daily loss calculations. Weekend holding is prohibited, so your algorithms must include position closure logic before weekend market gaps. Implement automatic position closure routines that execute before Friday market close to avoid rule violations. **Optimization for Different Account Types** Tailor your EA's aggressiveness based on the account type: - **QT Instant**: More conservative daily profit targets (under 2% daily) due to the 25% consistency rule - **QT Power**: Moderate aggression with 35% daily cap consideration - **QT Ultra**: Focus on steady, consistent performance **Technical Implementation Tips** Program your EA with multiple safety layers: daily loss monitoring, profit cap enforcement, news event detection, and weekend position management. Include logging functionality to track performance metrics that align with Quant Tekel's evaluation criteria. Consider implementing dynamic position sizing that adjusts based on account equity, recent performance, and proximity to daily/total loss limits. Your algorithms should become more conservative as they approach risk thresholds. **Monitoring and Maintenance** While EAs provide automation, you still need oversight. Monitor your algorithms' performance daily, especially regarding consistency metrics. Be prepared to adjust parameters if your EA's performance patterns don't align with the firm's evaluation criteria. The 4.4/5 Trustpilot rating from 12,000 reviews suggests reliable execution environment for your automated strategies. However, maintain backup plans and manual override capabilities for unexpected market conditions or technical issues.

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